Objective To investigate the correlation between single nucleotide polymorphisms(SNPs)of the EGF gene,including rs11569017(A>T),rs2237051(A>G),rs3733625(C>T),and rs4444903(A>G),and the risk of non-small cell lung cancer(NSCLC)in a Han population of Yunnan.Methods A total of 439 patients with NSCLC and 520 healthy controls were recruited in Yunnan Province between January 2022 and December 2023.Genotyping of four SNP loci in the EGF gene was performed using TaqMan probes,followed by analysis of allele,genotype,genetic model,and haplotype distribution frequencies between NSCLC and control groups.Stratified analyses were further conducted based on NSCLC pathological types and clinical stages.Results The rs2237051 locus showed significant differences in allele(P=0.011)and genotype(P=0.042)frequencies between the squamous cell carcinoma(SCC)group and the control group.The frequency of the A allele was lower in the SCC group than in the control group(OR=0.71,95%CI 0.54～1.85),but there was no difference after Bonferroni correction(P>0.0125).Under the log-additive model,the rs2237051-2G/G+A/G genotype was associated with an increased risk of SCC(P=0.01;OR=1.42,95%CI 1.08～1.86).However,the association lost statistical significance after Bonferroni correction(P>0.0125).The haplotype rs11569017-rs2237051-rs3733625-rs4444903 has no difference between the two groups(P>0.0125).The stratified analysis revealed no significant associations between the genetic loci and different disease stages(P>0.0125).Conclusion In the Yunnan Han population,the individuals carrying the rs2237051-A allele of the EGF gene have a significantly lower risk of squamous lung cancer,but further functional experiments are needed to verify the protective mechanism.

Objective To explore the clinicopathological characteristics,prognosis and influencing factors of different pathological subtypes of gastric signet ring cell carcinoma(GSRC).Methods A retrospective analysis was performed on the clinical data of 232 patients with GSRC collected from January 2016 to December 2018 in Lanzhou University Second Hospital.According to the WHO classification criteria for GSRC,the patients were divided into pure gastric signet-ring cell carcinoma(pGSRC,n=36)and mixed gastric signet-ring cell carcinoma(mGSRC,n=196).The follow-up as of September 30,2022,the survival analysis was done using Kaplan-Meier method,the univariate and multivariate Cox regression were performed to analyze the risk factors affecting the prognosis of GSRC patients.Results The median survival time of pGSRC and mGSRC patients was 41.0(6.0-70.0)months and 24.0(2.0-74.0)months,respectively.Kaplan-Meier analysis showed that combination with diabetes,anemia,tumor diameter,nerve invasion,lymphovascular invasion,T stage,N stage,GSRC pathological subtype,CA125 and tumor diameter could affect the overall survival(OS)of patients with GSRC after radical gastrectomy(P＜0.05),but Her-2,whether adjuvant chemotherapy or not and others elements had no significant effect on OS of GSRC patients after radical gastrectomy(P＞0.05).Univariate Cox regression analysis showed that the combination with diabetes(P=0.031),anemia(P=0.028),tumor diameter＞5 cm(P=0.009),nerve invasion(P=0.002),lymphovascular invasion(P=0.002),mGSRC pathological type(P=0.039),T2-T4 stage(P=0.001),N1-N4 stage(P=0.004),pTNM stage Ⅲ(P=0.044),the number of lymph node metastasis＞30(P=0.044)and CA125 positive(P=0.009)were related to the prognosis of patients with GSRC after radical gastrectomy.Multivariate Cox regression analysis showed that mGSRC pathological type(P=0.035),T2-T4 stage(P=0.003),CA125 positive(P=0.010)were independent risk factors for poor prognosis of patients with GSRC after radical gastrectomy.Conclusion Compared with pGSRC,patients with mGSRC at diagnosis have higher pTNM stages,more aggressive,and shorter median survival time.mGSRC pathological type,T2-T4 stage,and CA125 positive were all independent factors affecting the prognosis of patients with GSRC.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

AIM:To test and compare the perceptual eye position and fixation stability of adolescents with emmetropia and adolescents with low myopia, investigating the characteristics of the perceptual eye position and fixation stability of adolescents with low myopia.METHODS: Cross-sectional study. A total of 132 adolescents(264 eyes)who visited in the ophthalmology clinic of our hospital from April to December 2023 were randomly selected as the research subjects. Participants were categorized into normal control group(n=45, 90 eyes), simple low myopia group(n=45, 90 eyes)and low myopia with anisometropia group(n=42, 84 eyes)according to their refractive status and were underwent assessments for perceptual eye position and fixation stability.RESULTS: Compared with the normal control group, the static and dynamic horizontal perceptual eye position deviation of the simple low myopia group and the low myopia with anisometropia group were significantly increased(P<0.05). Compared with the simple low myopia group, the static and dynamic horizontal perceptual eye position deviation of the low myopia with anisometropia group were significantly increased(P<0.05). There was no significant difference in static and dynamic vertical perceptual eye position deviation among the three groups(P>0.05); compared with the normal control group, the horizontal and vertical fixation stability of the simple low myopia group and the low myopia with anisometropia group were significantly worse(all P<0.01), but there was no differences in the simple low myopia group and the low myopia with anisometropia group(P >0.05).CONCLUSION: Abnormalities are observed in perceptual eye position and fixation stability function in adolescents with low myopia compared with those adolescents with emmetropia, even at best corrected visual acuity. The occurrence of anisometropia could lead to an increased degree of horizontal perceptual eye position displacement.

Objective:To evaluate the efficacy of exercise therapy combined with drug therapy for the treatment of patients with primary osteoporosis based on randomized controlled trial by meta-ananlysis.Methods:Randomized controlled trials of exercise therapy combined with drugs in the treatment of primary osteoporosis published between Jan 1,2000 to Apr 30,2024 in PubMed,EMbase,Cochrane Library,CNKI,VIP were researched.The search strategy combining Medical Subject Headings and free words.After literature screening,quality evaluation and data extraction,meta-analysis was used for quantitative analysis and evaluation.Q test and I2 test were used for heterogeneity test.Subgroup analysis was performed according to the type of drug intervention.Sensitivity analysis was used to evaluate the stability of results,and funnel plot was used to evaluate potential publication bias.Results:A total of 28 literatures were included in this study,including exercise therapy combined with drug therapy group(1 140 cases)and drug therapy alone group(1 136 cases).The results showed that compared with drug therapy alone,exercise therapy combined with drug therapy had statistically significant differences in bone mineral density(BMD)of lumbar vertebra(SMD=1.42,95%CI:1.11-1.73),femur(SMD=1.14,95%CI:0.73-1.56)and hip(SMD=0.59,95%CI:0.09-1.09)(P＜0.05).Exercise therapy combined with drug therapy was also superior in alleviating pain in patients(SMD=-1.94,95%CI:-2.50--1.38,P＜0.05).The results of total subgroup analysis showed statistically significant differences among different drug interventions(P＜0.05).Conclusions:Exercise therapy combined with drug therapy has a good intervention effect on primary osteoporosis.However,due to the small sample size of the included studies,the results still need to be further verified by large sample population studies.

Objective:To investigate the effects of hyperuricemia(HUA)on fasting blood glucose(FBG)level in retired cadres in Shenyang by using generalized estimating equations(GEE).Methods:Data of demographic characteristics and clinical indicators of retired cadres who underwent physical examination in Central Hospital Affiliated to Shenyang Medical College for 3 consecutive years from Sep 2013 to Sep 2015 were collected.According to serum uric acid(SUA)level in the first physical examination,the subjects were divided into HUA group and SUA normal group.GEE was used to analyze the effect of HUA on FBG level.Results:Body mass index(BMI)in HUA group was higher than that in SUA normal group during the three years,and the difference in FBG level between 2013 and 2015 was statistically significant(P＜0.05).After adjusting the physical examination time,gender,and age by GEE(Model 1),the FBG level in HUA group was significantly higher than that in SUA normal group(OR=2.158,95%CI:1.192-3.908,P=0.011).After further adjusting for confounding factors such as BMI,alcohol consumption,family history of diabetes mellitus(DM),hyperlipidemia,and hypertension(Model 2),the FBG level between the two groups was still significantly different(OR=1.788,95%CI:1.003-3.185,P=0.049).Conclusion:HUA can increase FBG level in the elderly population,and the risk is increased by 1.788 times compared with SUA normal group,suggesting that HUA is related to FBG level,which provides a reference for further exploration of the etiology of DM and provides a basis for effective prevention of DM.